The efficient management of large collections of fusion hypotheses presents a critical challenge for scaling high-level information fusion systems to solve large problems. We motivate this challenge in the context of two ALPHATECH research projects, and discuss several partial solutions. A recurring theme is the exploitation of space-efficient, factored representations of multiple hypotheses to enable efficient search for good hypotheses.
Hypothesis management for information fusion
01.01.2002
464593 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Hypothesis management for information fusion
IEEE | 2003
|Hypothesis Management for Information Fusion
Online Contents | 2003
|Hypothesis Management for Information Fusion
British Library Conference Proceedings | 2002
|Multi-hypothesis database for large-scale data fusion
IEEE | 2002
|Multi-Hypothesis Database for Large-Scale Data Fusion
British Library Conference Proceedings | 2002
|